Phosphate Molecular Tweezers Constructed From Internal Sites Within One‐Dimensional Covalent Organic Frameworks for High‐Precision Uranium‐Capturing

吸附 共价键 分子钳 材料科学 密度泛函理论 磷酸盐 灵活性(工程) 纳米技术 选择性 选择性吸附 功能(生物学) 分子 分子动力学 分子识别 化学工程 镊子 组合化学 化学 金属有机骨架 多孔性 浓缩铀 功能群
作者
Xiaoqin Shen,Ke Li,Bing Yan
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.74730
摘要

ABSTRACT Integrating uranium‐specific binding moieties into materials represents a pivotal yet challenging strategy for environmental uranium extraction, essential for advancing sustainable nuclear energy and environmental remediation. Herein, we discover that the precise installation of molecular tweezers within the pores of 1D covalent organic frameworks, leveraging the flexibility of the chains, enables dynamic and highly selective uranium capture. Using 2‐OH‐PyDFP as the scaffold, 2‐Phos is synthesized through phosphorylation of the hydroxyl groups lining the interior channel. The symmetrically distributed phosphate moieties enable synergistic function as molecular tweezers, endowing the material with exceptional selectivity and adsorption performance. Remarkably, 2‐Phos achieves a uranium adsorption capacity of 954 mg·g −1 at pH = 8, representing an approximately 63% enhancement over the control material 5‐Phos, whose phosphate groups are located externally to the pores. Density functional theory calculations further revealed that upon interacting with uranium, the distance between the ends of the molecular tweezers shrink from 13.0 to 11.0 Å owing to the self‐contraction of the chains. Such sub‐nanometer‐scale structural adjustment, combined with size confinement and multi‐site cooperative chelation, collectively enhances the efficient adsorption of uranium. This study proposes a strategy based on constructing size‐matched nanotraps within the porous architecture to achieve highly efficient adsorption of specific molecules.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_57A445发布了新的文献求助10
刚刚
tommorw完成签到,获得积分10
刚刚
1秒前
bkagyin应助3152采纳,获得10
1秒前
FOX完成签到,获得积分10
1秒前
orixero应助微光熠采纳,获得10
3秒前
3秒前
科研通AI6.4应助luohuixia采纳,获得10
3秒前
5秒前
6秒前
FOX发布了新的文献求助10
6秒前
jxxyzm完成签到,获得积分10
7秒前
折光完成签到 ,获得积分10
8秒前
852应助darwind采纳,获得10
9秒前
you发布了新的文献求助10
10秒前
LockheedChengdu完成签到,获得积分10
11秒前
11秒前
11秒前
耶耶完成签到 ,获得积分10
13秒前
13秒前
淡定的太清完成签到,获得积分10
14秒前
15秒前
16秒前
16秒前
隐形曼青应助Hairee采纳,获得10
17秒前
18秒前
lalala发布了新的文献求助10
18秒前
19秒前
19秒前
完美世界应助DungHoang采纳,获得10
20秒前
you完成签到,获得积分10
20秒前
左岸发布了新的文献求助10
20秒前
w_yF发布了新的文献求助20
20秒前
oo发布了新的文献求助10
20秒前
xiaotian完成签到,获得积分10
21秒前
darwind发布了新的文献求助10
22秒前
涛神发布了新的文献求助10
22秒前
zfm完成签到,获得积分10
23秒前
橘猫发布了新的文献求助10
23秒前
酷酷冰菱发布了新的文献求助10
23秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6476181
求助须知:如何正确求助?哪些是违规求助? 8278638
关于积分的说明 17654558
捐赠科研通 5557600
什么是DOI,文献DOI怎么找? 2910513
邀请新用户注册赠送积分活动 1887382
关于科研通互助平台的介绍 1740454